You will get a custom AI or machine learning model tailored to your business needs
Project details
You will receive a high-quality AI/ML model tailored to your business needs, whether it involves prediction, classification, data analysis, or automation. I possess strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, and data visualization tools, ensuring I can build models that are accurate, scalable, and user-friendly. My focus is on delivering practical, tested, and well-documented solutions that save you time and help you make smarter decisions. I provide clean, optimized code, thorough documentation, and ongoing support so you can confidently use the model in real-world scenarios.
Machine Learning Tools
pandas, Python, Python Scikit-Learn, TensorFlowWhat's included
| Service Tiers |
Starter
$120
|
Standard
$350
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 2 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Shahmeer
Full Stack MERN Developer | Scalable Web Apps & APIs
Rawalpindi, Pakistan - 5:31 am local time
✅ What I Offer:
Full-stack MERN web applications
Admin dashboards & role-based access
REST APIs & third-party integrations (Stripe, Google Maps, etc.)
Secure authentication (JWT/OAuth)
Deployment to AWS, Vercel, or Netlify
🎯 Why Me:
I focus on building user-friendly applications with optimized performance and future scalability. Clear communication, milestone-based delivery, and post-project support are guaranteed.
Steps for completing your project
After purchasing the project, send requirements so Shahmeer can start the project.
Delivery time starts when Shahmeer receives requirements from you.
Shahmeer works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Data Understanding
Review the client’s goals, datasets, and tools to confirm project scope and feasibility.
Data Collection & Cleaning
Collect, clean, and preprocess the dataset to ensure accuracy, consistency, and readiness for modeling.